The information storm brought by big data is transforming our life, work and thinking. Big data has opened a major era transformation. In this unprecedented change, some companies are already ahead of the curve. Recently, Guizhou Power Grid joined hands with Shenzhen Kangtopu Information Technology Co., Ltd. to build a power big data platform based on Polaris Big Data all-in-one machine, leading the direction of the industry.
For power grid enterprises, the safety and reliability of power transmission and transformation equipment is the basis of the safety of the whole power system. Because the transmission and transformation equipment of a local fault often spread to the whole system, affect the safety of the whole grid operation, resulting in inestimable losses. Therefore, the construction of power big data platform, detection and monitoring of power transmission and transformation equipment, and the study of operation and maintenance strategies of power transmission and transformation equipment center are important technical means to comprehensively control the running state of power transmission and transformation equipment, improve the ability of equipment operation and control, and improve the level of equipment lean operation and management. They are also urgent problems to be solved by Guizhou Power Grid at present.
In recent years, with the acceleration of the construction of Guizhou power grid and the increase of power grid equipment, how to ensure the safe and stable operation of Guizhou power grid, reduce the maintenance pressure of equipment, extend the service life of equipment and improve the utilization rate of equipment are important problems to be solved in the operation and maintenance process of Guizhou power grid.
In this context, Guizhou Power Grid, through the implementation of the "Multi-dimensional full state perception of large power grid risk assessment and differentiated operation and maintenance key technologies and demonstration research project", has joined hands with Kangtopu to overcome key technical difficulties based on power big data architecture, use advanced condition monitoring technology means, improve the information level of equipment condition management, and improve the reliability and security of power grid operation.
This project mainly includes the integration of equipment status acquisition subsystem, the status evaluation of power transmission and transformation equipment of the whole network, the risk assessment subsystem, and the construction of differentiated operation and maintenance intelligent decision subsystem. On the basis of in-depth understanding and mining of customer needs, Kangtopu puts forward the solution of big data integrated machine and builds the power big data platform integrating software and hardware. The underlying hardware platform includes the server, which takes high performance computing, integrated network architecture and virtualization as the main application goals, integrates many advanced design concepts and technical characteristics, and is the latest generation of industry-leading server products in line with open standards. The software is built with Kangtopu's Polaris big data analysis platform, which integrates data integration, data storage, data processing, data analysis, data mining and data visualization. Polaris Big Data all-in-one machine has realized the product design requirements of high performance, high density, scalability, on-demand configuration, and flexible solution, and can meet the application requirements of users' diverse and dynamic business. It has comprehensively improved the level of equipment operation and maintenance for Guizhou power grid, greatly enhanced the safety and reliability of power grid operation, and brought huge economic benefits to the company.
In recent years, big data has swept all major industries with hot momentum. Finance, transportation, logistics, energy and other major industries make use of big data to achieve business breakthroughs, and power big data also rises.
The development of power big data is the direction of national policy support. The Guidance on Actively promoting the "Internet Plus" Action issued by The State Council points out in the special "Internet Plus smart energy" that the intelligent energy production should be promoted, and energy enterprises should be encouraged to use big data technology to analyze, mine and forecast equipment status, power load and other data, and carry out accurate scheduling, fault judgment and predictive maintenance. We will improve energy efficiency and ensure safe and stable operations.
The development of power big data is the direction of transformation and upgrading of power enterprises. At present, all traditional industries are actively using the power of big data to help enterprises achieve transformation. In the power sector, big data has been elevated to the corporate strategy level. The era of big data has brought new development opportunities for the power industry, but also put forward new challenges.
Generally speaking, power big data mainly comes from the various links of power generation, transmission, transformation, distribution, power consumption and dispatch of power production and power use, which can be roughly divided into three categories: first, power grid operation and equipment detection or monitoring data; Second, marketing data of electric power enterprises, such as transaction price, electricity sold, electricity customers and other data; Third, power enterprise management data. As China's power big data is in its infancy, it is the most urgent demand and challenge for power enterprises to ensure the safety and reliability of the power system through the first type of power grid monitoring big data. Following the trend of The Times and accurately grasping the market demand, Kangtopu invested huge manpower and material resources to independently develop the Polar Star Big data analysis platform. Focusing on energy big data, Kangtopu has won market recognition, and its products and services have been favored and praised by industry giants such as China Southern Power Grid.
About Polestar Big data analysis platform
Polaris Big Data analysis platform is an enterprise-level big data integration solution designed by Comtop for massive data in the energy industry. In addition to having the functions of data acquisition, data storage, data processing, data analysis and data visualization of the general big data platform in the market, it also integrates many years of experience in the energy industry, provides a wealth of algorithms in the energy industry, and specifically optimizes the data access in depth according to the characteristics of the energy industry data. In this way, efficient data read and write performance is obtained. Polaris Big Data analysis platform, as the first big data platform in China to achieve deep integration with time series database, has the capability of parallel processing time series data in a distributed environment more than 100 times faster than ordinary big data analysis software.
Polaris Big Data analysis platform has strong malleability and openness, which is not only suitable for the power industry, but also for petrochemical, gas, transportation, environmental protection and other industries with the demand for real-time data monitoring. The era of big data has come and the world is changing dramatically. Is your company ready?
